Semantic Content Search and Personalisation
Implementing AI-powered semantic search and content personalisation for improved user engagement.
The Challenge
The client's existing search returned poor results, and users couldn't find relevant content, leading to high bounce rates.
The Outcome
Implemented semantic search with personalisation, increasing content engagement by 45% and reducing bounce rate by 30%.
Overview
Traditional keyword search was failing the client’s users. Search results were often irrelevant, and there was no way to personalise the content experience based on user interests.
Our Approach
We built a semantic search engine that understands meaning, not just keywords, combined with a personalisation layer that adapts content recommendations to each user.
Key Technologies
- Semantic embeddings for meaning-based search
- User behaviour analysis for personalisation
- Real-time content ranking and recommendation
Results
Users now find what they’re looking for faster, and the personalised content feeds keep them engaged longer. The client saw measurable improvements across all key metrics.